CN111861255A - Enterprise risk monitoring method and device, storage medium and electronic equipment - Google Patents
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Abstract
The embodiment of the disclosure discloses an enterprise risk monitoring method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring at least one piece of changed enterprise dimension information; extracting the at least one piece of changed enterprise dimension information based on preset characteristic information of each enterprise dimension information to obtain at least one piece of enterprise dimension information to be monitored; and sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored. Therefore, the enterprise dimension information of excessive unnecessary changes in monitoring can be reduced by setting the characteristic information, the problems of message overload and the like are avoided, effective early warning is realized by setting the preset warning information, and excessive useless information is prevented from being sent to the user, so that the user ignores the truly valuable enterprise risk information.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for enterprise risk monitoring, a storage medium, and an electronic device.
Background
Enterprise risk monitoring is particularly important for investing enterprises and investors, particularly for upstream and downstream suppliers and associated enterprises.
In carrying out the present disclosure, the inventors found that: at present, enterprise risk monitoring generally directly monitors whether enterprise dimension information is increased or decreased, such as whether a new trademark is applied or not, whether legal litigation is involved, and the like. The monitoring mode is coarse-grained post-monitoring, and has the problems that excessive change dimension information is pushed to users, effective early warning cannot be achieved, and the like, and the problem of message overload can occur when monitoring large-batch enterprises.
Disclosure of Invention
The present disclosure is proposed to solve the above technical problems. The embodiment of the disclosure provides an enterprise risk monitoring method and device, electronic equipment and a storage medium.
According to an aspect of the embodiments of the present disclosure, there is provided an enterprise risk monitoring method, including:
acquiring at least one piece of changed enterprise dimension information;
extracting the at least one piece of changed enterprise dimension information based on preset characteristic information of each enterprise dimension information to obtain at least one piece of enterprise dimension information to be monitored;
and sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored.
Optionally, in each of the above method embodiments of the present disclosure, the feature information includes any one or more of the following: quantity characteristic information, keyword characteristic information and logic characteristic information.
Optionally, in each method embodiment of the present disclosure, at least one index information corresponding to at least one piece of changed enterprise dimension information is obtained based on at least one piece of changed enterprise dimension information and at least one preset index formula corresponding to the at least one piece of changed enterprise dimension information;
and acquiring the at least one enterprise dimension information to be monitored based on the preset quantity characteristic information of the at least one enterprise dimension information and the at least one index information corresponding to the at least one changed enterprise dimension information.
Optionally, in each of the method embodiments of the present disclosure, the preset warning information includes: field alert information and/or threshold alert information.
Optionally, in the above method embodiments of the present disclosure, before acquiring the at least one piece of changed enterprise dimension information, the method further includes:
acquiring related enterprise information of an enterprise user;
at least one changed enterprise dimensional information for at least one monitored enterprise is determined based on the associated enterprise information for the enterprise user.
Optionally, in the above method embodiments of the present disclosure, the obtaining of the associated enterprise information of the enterprise user and the determining of the at least one changed enterprise dimension information of the at least one monitored enterprise based on the associated enterprise information of the enterprise user further include:
grouping enterprise dimension information of the at least one monitored enterprise based on preset risk levels to obtain at least one monitoring group, and sending early warning information of different risk levels to enterprise users based on preset early warning rules of the monitoring group; wherein different monitoring groups include enterprise dimensional information of monitored enterprises of different risk levels.
Optionally, in the above method embodiments of the present disclosure, the acquiring the associated enterprise information of the enterprise user and the determining at least one changed enterprise dimension information of at least one monitored enterprise based on the associated enterprise information of the enterprise user includes:
selecting index information corresponding to at least one enterprise dimension information to be monitored from at least one preset index set; wherein the at least one index set is set based on attributes of the enterprise dimension information.
Optionally, in each of the above method embodiments of the present disclosure, optionally, in another aspect of the above method embodiments of the present disclosure, there is provided an enterprise risk monitoring apparatus, including:
the acquisition module is used for acquiring at least one piece of changed enterprise dimension information;
the acquisition module is used for extracting the at least one piece of changed enterprise dimension information based on the preset characteristic information of each piece of enterprise dimension information to acquire at least one piece of enterprise dimension information to be monitored;
and the sending module is used for sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored.
Optionally, in the above apparatus embodiments of the present disclosure, the feature information includes any one or more of the following: quantity characteristic information, keyword characteristic information and logic characteristic information.
Optionally, in each of the above apparatus embodiments of the present disclosure, the obtaining module includes:
a first obtaining unit, configured to obtain at least one piece of index information corresponding to at least one piece of changed enterprise dimensional information based on the at least one piece of changed enterprise dimensional information and at least one preset index formula corresponding to the at least one piece of changed enterprise dimensional information;
and a second obtaining unit, configured to obtain the at least one enterprise dimensional information to be monitored, based on preset quantity characteristic information of the at least one enterprise dimensional information and at least one index information corresponding to the at least one changed enterprise dimensional information.
Optionally, before the obtaining module in each of the above device embodiments of the present disclosure, the method further includes:
the association module is used for acquiring the associated enterprise information of the enterprise user;
a determination module to determine at least one changed enterprise dimensional information for at least one monitored enterprise based on the associated enterprise information of the enterprise user.
Optionally, in each of the apparatus embodiments of the present disclosure, between the associating module and the determining module, further includes: the monitoring group module is used for grouping the enterprise dimension information of the at least one monitored enterprise based on a preset risk level to obtain at least one monitoring group, and is used for sending early warning information of different risk levels to the enterprise user based on a preset early warning rule of the monitoring group; wherein different monitoring groups include enterprise dimensional information of monitored enterprises of different risk levels.
Optionally, in each of the apparatus embodiments of the present disclosure, between the associating module and the determining module, further includes: the index selection module is used for selecting index information corresponding to at least one enterprise dimension information to be monitored from at least one preset index set; wherein the at least one index set is set based on attributes of the enterprise dimension information.
According to another aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium storing a computer program for executing the enterprise risk monitoring method according to any of the above embodiments of the present disclosure.
According to still another aspect of an embodiment of the present disclosure, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the enterprise risk monitoring method according to any of the embodiments.
Based on the enterprise risk monitoring method and device, the electronic device and the storage medium provided by the embodiment of the disclosure, at least one piece of changed enterprise dimension information is acquired; extracting the at least one piece of changed enterprise dimension information based on preset characteristic information of each enterprise dimension information to obtain at least one piece of enterprise dimension information to be monitored; and sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored. Therefore, the enterprise dimension information of excessive unnecessary changes in monitoring can be reduced by setting the characteristic information, the problems of message overload and the like are avoided, effective early warning is realized by setting the preset warning information, and excessive useless information is prevented from being sent to the user, so that the user ignores the truly valuable enterprise risk information.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in more detail embodiments of the present disclosure with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 is a schematic flowchart of an enterprise risk monitoring method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a schematic flowchart of an enterprise risk monitoring method according to another exemplary embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating an enterprise risk monitoring method according to still another exemplary embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of an enterprise risk monitoring apparatus according to an exemplary embodiment of the present disclosure.
Fig. 5 is a block diagram of an electronic device provided in an exemplary embodiment of the present disclosure.
Detailed Description
Hereinafter, example embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of the embodiments of the present disclosure and not all embodiments of the present disclosure, with the understanding that the present disclosure is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present disclosure are used merely to distinguish one element from another, and are not intended to imply any particular technical meaning, nor is the necessary logical order between them.
It is also understood that in embodiments of the present disclosure, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the disclosure, may be generally understood as one or more, unless explicitly defined otherwise or stated otherwise.
In addition, the term "and/or" in the present disclosure is only one kind of association relationship describing an associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present disclosure generally indicates that the former and latter associated objects are in an "or" relationship.
It should also be understood that the description of the various embodiments of the present disclosure emphasizes the differences between the various embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
The disclosed embodiments may be applied to electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Fig. 1 is a flowchart of an enterprise risk monitoring method according to an exemplary embodiment of the present disclosure. The embodiment can be applied to an electronic device, and as shown in fig. 1, the enterprise risk monitoring method includes the following steps:
s102, acquiring at least one piece of changed enterprise dimension information.
The enterprise dimension information is used to represent various associated information of an enterprise, for example: industrial and commercial information, legal risk information, equity and quality information, trademark information, etc.
And S104, extracting at least one enterprise dimension information based on the preset characteristic information of each enterprise dimension information to obtain at least one enterprise dimension information needing to be monitored.
The characteristic information in the embodiments of the present disclosure may include any one or more of the following: quantity features, keyword features, logic features.
The quantity feature may be a quantity threshold obtained by a formula defined in advance for different dimensional information or directly set, for example, for the stock right quality information of the monitored company a, when the accumulated stock right quality ratio of the company a reaches 30%, the stock right quality information of the company a needs to be monitored, or after the number of recruiters of the company a exceeds 50, the recruitment information of the company a starts to be monitored. The keyword feature information is used to represent keywords appearing in the enterprise dimension information, such as: the intellectual property information changed by company a includes: if the preset keyword feature information includes the applicant change, the applicant change information in the patent information of company a only needs to be monitored. The logical characteristic information is used for representing a category of keywords with semantic relationships in contextual information, such as causal relationships, hypothetical relationships, and the like, for example, in the lawsuit information of company a, company a proposes lawsuit to company C due to the event B, and the court judges that company a wins the lawsuit. When the system detects that a series of logical characteristic information indicating cause and effect exists in the paragraph, such as "cause", "litigation", and "judgment", it is necessary to monitor the lawsuit information of company a.
And S106, sending early warning information based on the preset warning information of each dimension and at least one enterprise dimension information needing to be monitored.
The preset warning information in the embodiment of the present disclosure includes: a field alert and/or a threshold alert.
Wherein, the field alarm information is used to indicate that a preset field exists in the monitored enterprise dimension information, for example, the application number of the company A patent X. The threshold value alert is used for indicating that the monitored enterprise dimension information exceeds a preset range, for example, the preset alert value of the accumulated equity quality of company a is 50%, and when the accumulated equity quality ratio of company a exceeds 50%, it is required to send warning information to the user for reminding.
For example, the information of the applicant of both the patent X and the patent Y of company a is changed, but if the user B only sets the application number of the patent X as the field alert information, the user B only needs to send the information of the change of the applicant of the patent X of company a to the user B for reminding.
Based on the enterprise risk monitoring method provided by the embodiment of the disclosure, at least one piece of changed enterprise dimension information is obtained; extracting the at least one piece of changed enterprise dimension information based on preset characteristic information of each enterprise dimension information to obtain at least one piece of enterprise dimension information to be monitored; and sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored. Therefore, the enterprise dimension information of excessive unnecessary changes in monitoring can be reduced by setting the characteristic information, the problems of message overload and the like are avoided, effective early warning is realized by setting the preset warning information, and excessive useless information is prevented from being sent to the user, so that the user ignores the truly valuable enterprise risk information.
As shown in fig. 2, on the basis of the embodiment shown in fig. 1, in some optional implementations, before the step S102, the following steps may be further specifically included:
s100, acquiring the related enterprise information of the enterprise user.
Wherein the associated business information is used for information indicating a business having an association with the business user, for example, information of the suppliers a1 company and a2 company acquiring the business user B and information of the distributors C1 company and C2 company acquiring the business user B.
S101, determining at least one changed enterprise dimension information of at least one monitored enterprise based on the associated enterprise information of the enterprise user.
For example, in the above example, the enterprise user B may set the company a1, the company a2, and the company C1 as monitoring targets, and when the stock right information of the company a1 and the company C1 changes, the changed enterprise dimension information of the monitored companies a1 and C1 may be determined as the stock right information.
In some optional embodiments, step S100 and step S101 may include: selecting index information corresponding to at least one enterprise dimension information to be monitored from at least one preset index set; and setting at least one index set based on the attribute of each enterprise dimension information so as to facilitate the enterprise user to select index information corresponding to at least one enterprise dimension information to be monitored according to the attribute.
The index set is used for representing at least one piece of index information corresponding to enterprise dimension information with the same attribute, and the preset index set can facilitate users in different industries to select the index information needing to be monitored from the related index set according to the characteristics of the industries. For example, enterprise dimension information of economic attributes can be set as an economic index set, so that the inauguration investment companies select enterprise dimension information which needs to be monitored; the enterprise dimension information of the production attribute can be set as a production index set so that the purchasing company can select the enterprise dimension information which needs to be monitored.
In some optional embodiments, between step S100 and step S101, there may be further included: grouping enterprise dimension information of at least one enterprise to be monitored based on a preset risk level to obtain at least one monitoring group, and sending early warning information of different risk levels to enterprise users based on a preset early warning rule of the monitoring group; wherein different monitoring groups include enterprise dimensional information of monitored enterprises of different risk levels.
For example, an enterprise user may join an enterprise to be monitored while browsing enterprise information, the enterprise user may search for additions or additions from a commonly used group or batch imports from a file, and the enterprise user may cancel monitoring of a single enterprise or batch of enterprises. For the a1 company, a2 company, and C1 company monitored by the enterprise user B in the above example, the intellectual property information of the a1 company, a2 company, and C1 company may be classified into general risk level monitoring groups, and the warning rule is set: and sending early warning information to the enterprise user B at a fixed time point. The stock right information of A1 company, A2 company and C1 company is divided into the monitoring groups with the highest risk level, and the early warning rules are set: and obtaining the early warning information and immediately sending the early warning information to an enterprise user B.
As shown in fig. 3, based on the embodiment shown in fig. 1, in some optional implementations, step S104 may specifically include the following steps:
s301, obtaining at least one index information corresponding to at least one changed enterprise dimension information based on at least one changed enterprise dimension information and at least one preset index formula corresponding to at least one changed enterprise dimension information.
The index information is used for representing index values for measuring the change of the dimension information of each enterprise. For example, the recruitment information for the change can obtain the recruitment year-on-year change index values of enterprises a in the current 7 th month and the last 7 th month based on a preset year-on-year change formula; and obtaining the recruitment ring ratio change index values of enterprises A in the 7 th month and 6 th month of the year based on a preset ring ratio change formula. And aiming at the changed equity information, the ratio change index value of investors and investment enterprises in each equity level of the enterprise A can be obtained based on a preset transfer range formula.
S302, obtaining at least one enterprise dimension information needing to be monitored based on preset quantity characteristic information of the at least one enterprise dimension information and at least one index information corresponding to the at least one changed enterprise dimension information.
For example, the recruitment information of the enterprise a in the current 7 month period needs to be monitored based on 40% of the change characteristic value of the recruitment ring ratio preset by the enterprise a, 35% of the change characteristic value of the recruitment ring ratio preset by the enterprise a, 20% of the change index values of the recruitment ring ratio in the current 8 month period and the current 7 month period of the enterprise a, and 62% of the change index values of the recruitment ring ratio in the current 7 month period and the previous 7 month period of the enterprise a.
Therefore, the embodiment of the disclosure can obtain the index information based on the changed enterprise dimension information, and accurately filter the monitoring information which the user actually needs to pay attention to based on the index information, so that the operation efficiency of the system can be improved, and the user experience is also improved.
Any of the enterprise risk monitoring methods provided by the embodiments of the present disclosure may be performed by any suitable device having data processing capabilities, including but not limited to: terminal equipment, a server and the like. Alternatively, any of the enterprise risk monitoring methods provided by the embodiments of the present disclosure may be executed by a processor, for example, the processor may execute any of the enterprise risk monitoring methods mentioned in the embodiments of the present disclosure by calling a corresponding instruction stored in a memory. And will not be described in detail below.
Fig. 4 is a schematic structural diagram of an enterprise risk monitoring apparatus according to an exemplary embodiment of the present disclosure. The testing device can be arranged in electronic equipment such as terminal equipment and a server and executes the enterprise risk monitoring method of any embodiment of the disclosure. As shown in fig. 4, the enterprise risk monitoring apparatus includes:
an obtaining module 41, configured to obtain at least one piece of changed enterprise dimension information;
an obtaining module 42, configured to extract the at least one changed enterprise dimensional information based on preset feature information of each enterprise dimensional information, so as to obtain at least one enterprise dimensional information to be monitored;
and a sending module 43, configured to send the warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information that needs to be monitored.
Based on the enterprise risk monitoring device provided by the embodiment of the disclosure, at least one piece of changed enterprise dimension information is obtained; extracting the at least one piece of changed enterprise dimension information based on preset characteristic information of each enterprise dimension information to obtain at least one piece of enterprise dimension information to be monitored; and sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored. Therefore, the enterprise dimension information of excessive unnecessary changes in monitoring can be reduced by setting the characteristic information, the problems of message overload and the like are avoided, effective early warning is realized by setting the preset warning information, and excessive useless information is prevented from being sent to the user, so that the user ignores the truly valuable enterprise risk information.
The characteristic information comprises any one or more of the following items: quantity characteristic information, keyword characteristic information and logic characteristic information.
In some embodiments, the obtaining module 42 includes:
a first obtaining unit, configured to obtain at least one piece of index information corresponding to at least one piece of changed enterprise dimensional information based on the at least one piece of changed enterprise dimensional information and at least one preset index formula corresponding to the at least one piece of changed enterprise dimensional information;
and a second obtaining unit, configured to obtain the at least one enterprise dimensional information to be monitored, based on preset quantity characteristic information of the at least one enterprise dimensional information and at least one index information corresponding to the at least one changed enterprise dimensional information.
In some embodiments, before the obtaining module 41, the method further includes:
the association module is used for acquiring the associated enterprise information of the enterprise user;
a determination module to determine at least one changed enterprise dimensional information for at least one monitored enterprise based on the associated enterprise information of the enterprise user.
In some embodiments, the associating module and the determining module further include: the monitoring group module is used for grouping the enterprise dimension information of the at least one monitored enterprise based on a preset risk level to obtain at least one monitoring group, and is used for sending early warning information of different risk levels to the enterprise user based on a preset early warning rule of the monitoring group; wherein different monitoring groups include enterprise dimensional information of monitored enterprises of different risk levels.
In some embodiments, the associating module and the determining module further include: the index selection module is used for selecting index information corresponding to at least one enterprise dimension information to be monitored from at least one preset index set; wherein the at least one index set is set based on attributes of the enterprise dimension information.
In addition, an embodiment of the present disclosure also provides an electronic device, which includes: a processor; a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the enterprise risk monitoring method according to any of the above embodiments of the present disclosure.
Next, an electronic apparatus according to an embodiment of the present disclosure is described with reference to fig. 5. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom. FIG. 5 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure. As shown in fig. 5, the electronic device includes one or more processors 51 and memory 52.
The processor 51 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
The memory 52 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by the processor 51 to implement the enterprise risk monitoring method of the software program of the various embodiments of the present disclosure described above and/or other desired functions. In one example, the electronic device may further include: an input device 53 and an output device 54, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
The input device 53 may also include, for example, a keyboard, a mouse, and the like.
The output device 54 can output various information to the outside. The output devices 54 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 5, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device may include any other suitable components, depending on the particular application.
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps in the enterprise risk monitoring methods of the software programs of the various embodiments described above in this specification.
The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the steps in the enterprise risk monitoring method of the software program of the various embodiments described above in this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (14)
1. An enterprise risk monitoring method, comprising:
acquiring at least one piece of changed enterprise dimension information;
extracting the at least one piece of changed enterprise dimension information based on preset characteristic information of each enterprise dimension information to obtain at least one piece of enterprise dimension information to be monitored;
and sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored.
2. The method of claim 1, wherein the feature information comprises any one or more of: quantity characteristic information, keyword characteristic information and logic characteristic information.
3. The method according to claim 1 or 2, wherein the extracting the at least one enterprise dimension information based on the preset feature information of each enterprise dimension information to obtain at least one enterprise dimension to be monitored comprises:
obtaining at least one index information corresponding to at least one changed enterprise dimension information based on the at least one changed enterprise dimension information and at least one preset index formula corresponding to the at least one changed enterprise dimension information;
and acquiring the at least one enterprise dimension information to be monitored based on the preset quantity characteristic information of the at least one enterprise dimension information and the at least one index information corresponding to the at least one changed enterprise dimension information.
4. A method according to any one of claims 1 to 3, wherein the preset alert information comprises: field alert information and/or threshold alert information.
5. The method of any of claims 1-4, wherein prior to obtaining the at least one changed business dimension information, further comprising:
acquiring related enterprise information of an enterprise user;
at least one changed enterprise dimensional information for at least one monitored enterprise is determined based on the associated enterprise information for the enterprise user.
6. The method of claim 5, wherein obtaining business information associated with a business user and determining at least one changed business dimension for at least one monitored business based on the business information associated with the business user further comprises:
grouping enterprise dimension information of the at least one monitored enterprise based on preset risk levels to obtain at least one monitoring group, and sending early warning information of different risk levels to enterprise users based on preset early warning rules of the monitoring group; wherein different monitoring groups include enterprise dimensional information of monitored enterprises of different risk levels.
7. The method of claim 5 or 6, wherein the obtaining of the associated business information of the business user and the determining of at least one changed business dimension information of at least one monitored business based on the associated business information of the business user comprises:
selecting index information corresponding to at least one enterprise dimension information to be monitored from at least one preset index set; wherein the at least one index set is set based on attributes of the enterprise dimension information.
8. An enterprise risk monitoring device, comprising:
the acquisition module is used for acquiring at least one piece of changed enterprise dimension information;
the acquisition module is used for extracting the at least one piece of changed enterprise dimension information based on the preset characteristic information of each piece of enterprise dimension information to acquire at least one piece of enterprise dimension information to be monitored;
and the sending module is used for sending early warning information based on preset warning information of each enterprise dimension information and at least one enterprise dimension information needing to be monitored.
9. The apparatus of claim 7 or 8, wherein the obtaining module comprises:
a first obtaining unit, configured to obtain at least one piece of index information corresponding to at least one piece of changed enterprise dimensional information based on the at least one piece of changed enterprise dimensional information and at least one preset index formula corresponding to the at least one piece of changed enterprise dimensional information;
and a second obtaining unit, configured to obtain the at least one enterprise dimensional information to be monitored, based on preset quantity characteristic information of the at least one enterprise dimensional information and at least one index information corresponding to the at least one changed enterprise dimensional information.
10. The apparatus according to claim 8 or 9, wherein the obtaining module further comprises, before:
the association module is used for acquiring the associated enterprise information of the enterprise user;
a determination module to determine at least one changed enterprise dimensional information for at least one monitored enterprise based on the associated enterprise information of the enterprise user.
11. The apparatus of claim 10, wherein between the associating module and the determining module, further comprising: the monitoring group module is used for grouping the enterprise dimension information of the at least one monitored enterprise based on a preset risk level to obtain at least one monitoring group, and is used for sending early warning information of different risk levels to the enterprise user based on a preset early warning rule of the monitoring group; wherein different monitoring groups include enterprise dimensional information of monitored enterprises of different risk levels.
12. The apparatus according to claim 10 or 11, wherein between the associating module and the determining module, further comprising: the index selection module is used for selecting index information corresponding to at least one enterprise dimension information to be monitored from at least one preset index set; wherein the at least one index set is set based on attributes of the enterprise dimension information.
13. A computer-readable storage medium, characterized in that the storage medium stores a computer program for executing the enterprise risk monitoring method according to any of the claims 1-7.
14. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory for storing the processor-executable instructions;
the processor is used for reading the executable instructions from the memory and executing the instructions to realize the enterprise risk monitoring method of any one of the claims 1-7.
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